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Sports Open Data is a project started in June 2015 created by Paolo Riva, Riccardo Quatra and Fabio Sgroi. This project was born by a need we've found when looking for statistics in Sports: no website offers its data in an Open Data way. Sports Open Data will work in this way: by providing a JSON REST API, Sports Open Data allow you to manage data for every single match we've stored on our database. And that's not over: Sports Open Data has been structured as an Open Organization: feel free to partecipate to our project or simply be part of our community to make it grow day by day. Open Data created by users for users.
Lufthansa Open API is the Open Data platform of Lufthansa group together with Lufthansa Innovation Hub! Lufthansa Groups data offering spans from industry wide reference data over Lufthansa Group airlines till Lufthansa Cargo shipping information. Make sure to follow, as we are continuously expanding the offering! Plus the API is free off charge!
Related APIs in Category: Tagging
SYSTRAN.io platform is a collection of APIs for Translation, Multilingual Dictionary lookups, Natural Language Processing (Entity recognition, Morphological analysis, Part of Speech tagging, Language Identification...) and Text Extraction (from documents, audio files or images).
TextAnalysis API provides customized Text Analysis,Text Mining and Text Processing Services like Text Summarization, Language Detection, Text Classification, Sentiment Analysis, Word Tokenize, Part-of-Speech(POS) Tagging, Named Entity Recognition(NER), Stemmer, Lemmatizer, Chunker, Parser, Key Phrase Extraction(Noun Phrase Extraction), Sentence Segmentation(Sentence Boundary Detection), Grammar Checker and other Text Analysis Tasks. It stands on the giant shoulders of NLP Tools, such as NLTK, TextBlob, Pattern, MBSP and etc. You can test the services on our demo website TextAnalysisOnline and use the TextAnalysis API on Mashape. If you have any questions or want any customized text analysis services, you can contact us by email: [email protected]
This API allows you to extract most relevant terms from a text. It is not, like many others, a basic TF-IDF analysis. It compare the text against a very large language model, it uses a probabilistic model to identify candidates, it supports multi-words terms and not only single words. It uses part of speech tagging to clean up the results". In short it is probably the most advanced term extraction out there.
This service provides detailed linguistic information for a given text in English, Spanish, French, Italian, Portuguese and Catalan. There are three operating modes that cover different aspects of the morphosyntactic and semantic analysis: Lemmatization, which provides the lemmas of the different words in a text; PoS tagging: which provides not only the grammatical category of a word, including semantic information about that word; Syntactic analysis: that provides a thorough syntactic analysis, giving a complete syntactic tree where the leaves represent the most basic elements and their morphological and semantic analyses.